Now showing items 2670-2689 of 7025

  • Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits 

    Speliotes EK; Yerges-Armstrong LM; Wu J; Hernaez R; Kim LJ; Palmer CD; Gudnason V; Eiriksdottir G; Garcia ME; Launer LJ; Nalls MA; Clark JM; Mitchell BD; Shuldiner AR; Butler JL; Tomas M; Hoffmann U; Hwang SJ; Massaro JM; O'Donnell CJ; Sahani DV; Salomaa V; Schadt EE; Schwartz SM; Siscovick DS; NASH CRN; GIANT Consortium; MAGIC Investigators; Voight BF; Carr JJ; Feitosa MF; Harris TB; Fox CS; Smith AV; Kao WH; Hirschhorn JN; Borecki IB; GOLD Consortium (2011)
    Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide ...
  • Genome-wide association and functional follow-up reveals new loci for kidney function 

    Pattaro C; Köttgen A; Teumer A; Garnaas M; Böger CA; Fuchsberger C; Olden M; Chen MH; Tin A; Taliun D; Li M; Gao X; Gorski M; Yang Q; Hundertmark C; Foster MC; O'Seaghdha CM; Glazer N; Isaacs A; Liu CT; Smith AV; O'Connell JR; Struchalin M; Tanaka T; Li G; Johnson AD; Gierman HJ; Feitosa M; Hwang SJ; Atkinson EJ; Lohman K; Cornelis MC; Johansson Å; Tönjes A; Dehghan A; Chouraki V; Holliday EG; Sorice R; Kutalik Z; Lehtimäki T; Esko T; Deshmukh H; Ulivi S; Chu AY; Murgia F; Trompet S; Imboden M; Kollerits B; Pistis G; CARDIoGRAM Consortium; ICBP Consortium; CARe Consortium; Wellcome Trust Case Control Consortium 2 (WTCCC2); Harris TB; Launer LJ; Aspelund T; Eiriksdottir G; Mitchell BD; Boerwinkle E; Schmidt H; Cavalieri M; Rao M; Hu FB; Demirkan A; Oostra BA; de Andrade M; Turner ST; Ding J; Andrews JS; Freedman BI; Koenig W; Illig T; Döring A; Wichmann HE; Kolcic I; Zemunik T; Boban M; Minelli C; Wheeler HE; Igl W; Zaboli G; Wild SH; Wright AF; Campbell H; Ellinghaus D; Nöthlings U; Jacobs G; Biffar R; Endlich K; Ernst F; Homuth G; Kroemer HK; Nauck M; Stracke S; Völker U; Völzke H; Kovacs P; Stumvoll M; Mägi R; Hofman A; Uitterlinden AG; Rivadeneira F; Aulchenko YS; Polasek O; Hastie N; Vitart V; Helmer C; Wang JJ; Ruggiero D; Bergmann S; Kähönen M; Viikari J; Nikopensius T; Province M; Ketkar S; Colhoun H; Doney A; Robino A; Giulianini F; Krämer BK; Portas L; Ford I; Buckley BM; Adam M; Thun GA; Paulweber B; Haun M; Sala C; Metzger M; Mitchell P; Ciullo M; Kim SK; Vollenweider P; Raitakari O; Metspalu A; Palmer C; Gasparini P; Pirastu M; Jukema JW; Probst-Hensch NM; Kronenberg F; Toniolo D; Gudnason V; Shuldiner AR; Coresh J; Schmidt R; Ferrucci L; Siscovick DS; van Duijn CM; Borecki I; Kardia SL; Liu Y; Curhan GC; Rudan I; Gyllensten U; Wilson JF; Franke A; Pramstaller PP; Rettig R; Prokopenko I; Witteman JC; Hayward C; Ridker P; Parsa A; Bochud M; Heid IM; Goessling W; Chasman DI; Kao WH; Fox CS (2012)
    Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD ...
  • Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women 

    Fox CS; Liu Y; White CC; Feitosa M; Smith AV; Heard-Costa N; Lohman K; GIANT Consortium; MAGIC Consortium; GLGC Consortium; Johnson AD; Foster MC; Greenawalt DM; Griffin P; Ding J; Newman AB; Tylavsky F; Miljkovic I; Kritchevsky SB; Launer L; Garcia M; Eiriksdottir G; Carr JJ; Gudnason V; Harris TB; Cupples LA; Borecki IB (2012)
    Body fat distribution, particularly centralized obesity, is associated with metabolic risk above and beyond total adiposity. We performed genome-wide association of abdominal adipose depots quantified using computed ...
  • Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes 

    Strawbridge RJ; Dupuis J; Prokopenko I; Barker A; Ahlqvist E; Rybin D; Petrie JR; Travers ME; Bouatia-Naji N; Dimas AS; Nica A; Wheeler E; Chen H; Voight BF; Taneera J; Kanoni S; Peden JF; Turrini F; Gustafsson S; Zabena C; Almgren P; Barker DJ; Barnes D; Dennison EM; Eriksson JG; Eriksson P; Eury E; Folkersen L; Fox CS; Frayling TM; Goel A; Gu HF; Horikoshi M; Isomaa B; Jackson AU; Jameson KA; Kajantie E; Kerr-Conte J; Kuulasmaa T; Kuusisto J; Loos RJ; Luan J; Makrilakis K; Manning AK; Martínez-Larrad MT; Narisu N; Nastase Mannila M; Ohrvik J; Osmond C; Pascoe L; Payne F; Sayer AA; Sennblad B; Silveira A; Stancáková A; Stirrups K; Swift AJ; Syvänen AC; Tuomi T; van 't Hooft FM; Walker M; Weedon MN; Xie W; Zethelius B; DIAGRAM Consortium; GIANT Consortium; MuTHER Consortium; CARDIoGRAM Consortium; C4D Consortium; Ongen H; Mälarstig A; Hopewell JC; Saleheen D; Chambers J; Parish S; Danesh J; Kooner J; Ostenson CG; Lind L; Cooper CC; Serrano-Ríos M; Ferrannini E; Forsen TJ; Clarke R; Franzosi MG; Seedorf U; Watkins H; Froguel P; Johnson P; Deloukas P; Collins FS; Laakso M; Dermitzakis ET; Boehnke M; McCarthy MI; Wareham NJ; Groop L; Pattou F; Gloyn AL; Dedoussis GV; Lyssenko V; Meigs JB; Barroso I; Watanabe RM; Ingelsson E; Langenberg C; Hamsten A; Florez JC (2011)
    OBJECTIVE: Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). ...
  • Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes 

    Teumer A; Tin A; Sorice R; Gorski M; Yeo NC; Chu AY; Li M; Li Y; Mijatovic V; Ko YA; Taliun D; Luciani A; Chen MH; Yang Q; Foster MC; Olden M; Hiraki LT; Tayo BO; Fuchsberger C; Dieffenbach AK; Shuldiner AR; Smith AV; Zappa AM; Lupo A; Kollerits B; Ponte B; Stengel B; Krämer BK; Paulweber B; Mitchell BD; Hayward C; Helmer C; Meisinger C; Gieger C; Shaffer CM; Müller C; Langenberg C; Ackermann D; Siscovick D; DCCT/EDIC; Boerwinkle E; Kronenberg F; Ehret GB; Homuth G; Waeber G; Navis G; Gambaro G; Malerba G; Eiriksdottir G; Li G; Wichmann HE; Grallert H; Wallaschofski H; Völzke H; Brenner H; Kramer H; Mateo Leach I; Rudan I; Hillege HL; Beckmann JS; Lambert JC; Luan J; Zhao JH; Chalmers J; Coresh J; Denny JC; Butterbach K; Launer LJ; Ferrucci L; Kedenko L; Haun M; Metzger M; Woodward M; Hoffman MJ; Nauck M; Waldenberger M; Pruijm M; Bochud M; Rheinberger M; Verweij N; Wareham NJ; Endlich N; Soranzo N; Polasek O; van der Harst P; Pramstaller PP; Vollenweider P; Wild PS; Gansevoort RT; Rettig R; Biffar R; Carroll RJ; Katz R; Loos RJ; Hwang SJ; Coassin S; Bergmann S; Rosas SE; Stracke S; Harris TB; Corre T; Zeller T; Illig T; Aspelund T; Tanaka T; Lendeckel U; Völker U; Gudnason V; Chouraki V; Koenig W; Kutalik Z; O'Connell JR; Parsa A; Heid IM; Paterson AD; de Boer IH; Devuyst O; Lazar J; Endlich K; Susztak K; Tremblay J; Hamet P; Jacob HJ; Böger CA; Fox CS; Pattaro C; Köttgen A (2016)
    Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and are associated with an increased risk for end-stage renal disease and cardiovascular events. To gain insight into ...
  • Genome-wide association studies of albuminuria: towards genetic stratification in diabetes? 

    Pattaro C (2018)
    Genome-wide association studies (GWAS) have been very successful in unraveling the polygenic structure of several complex diseases and traits. In the case of albuminuria, despite the large sample size achieved by some ...
  • Genome-wide association studies of the PR interval in African Americans 

    Smith JG; Magnani JW; Palmer C; Meng YA; Soliman EZ; Musani SK; Kerr KF; Schnabel RB; Lubitz SA; Sotoodehnia N; Redline S; Pfeufer A; Müller M; Evans DS; Nalls MA; Liu Y; Newman AB; Zonderman AB; Evans MK; Deo R; Ellinor PT; Paltoo DN; Newton-Cheh C; Benjamin EJ; Mehra R; Alonso A; Heckbert SR; Fox ER; Candidate-gene Association Resource (CARe) Consortium (2011)
    The PR interval on the electrocardiogram reflects atrial and atrioventricular nodal conduction time. The PR interval is heritable, provides important information about arrhythmia risk, and has been suggested to differ among ...
  • Genome-wide association study for type 2 diabetes in Indians identifies a new susceptibility locus at 2q21 

    Tabassum R; Chauhan G; Dwivedi OP; Mahajan A; Jaiswal A; Kaur I; Bandesh K; Singh T; Mathai BJ; Pandey Y; Chidambaram M; Sharma A; Chavali S; Sengupta S; Ramakrishnan L; Venkatesh P; Aggarwal SK; Ghosh S; Prabhakaran D; Srinath RK; Saxena M; Banerjee M; Mathur S; Bhansali A; Shah VN; Madhu SV; Marwaha RK; Basu A; Scaria V; McCarthy MI; DIAGRAM; INDICO; Venkatesan R; Mohan V; Tandon N; Bharadwaj D (2013)
    Indians undergoing socioeconomic and lifestyle transitions will be maximally affected by epidemic of type 2 diabetes (T2D). We conducted a two-stage genome-wide association study of T2D in 12,535 Indians, a less explored ...
  • Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India 

    Saxena R; Saleheen D; Been LF; Garavito ML; Braun T; Bjonnes A; Young R; Ho WK; Rasheed A; Frossard P; Sim X; Hassanali N; Radha V; Chidambaram M; Liju S; Rees SD; Ng DP; Wong TY; Yamauchi T; Hara K; Tanaka Y; Hirose H; McCarthy MI; Morris AP; DIAGRAM; MuTHER; AGEN; Basit A; Barnett AH; Katulanda P; Matthews D; Mohan V; Wander GS; Singh JR; Mehra NK; Ralhan S; Kamboh MI; Mulvihill JJ; Maegawa H; Tobe K; Maeda S; Cho YS; Tai ES; Kelly MA; Chambers JC; Kooner JS; Kadowaki T; Deloukas P; Rader DJ; Danesh J; Sanghera DK (2013)
    We performed a genome-wide association study (GWAS) and a multistage meta-analysis of type 2 diabetes (T2D) in Punjabi Sikhs from India. Our discovery GWAS in 1,616 individuals (842 case subjects) was followed by in silico ...
  • A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans 

    Li H; Gan W; Lu L; Dong X; Han X; Hu C; Yang Z; Sun L; Bao W; Li P; He M; Wang Y; Zhu J; Ning Q; Tang Y; Zhang R; Wen J; Wang D; Zhu X; Guo K; Zuo X; Guo X; Yang H; Zhou X; DIAGRAM Consortium; AGEN-T2D Consortium; Zhang X; Qi L; Loos RJ; Hu FB; Wu T; Liu Y; Liu L; Hu R; Jia W; Ji L; Li Y; Lin X (2013)
    Substantial progress has been made in identification of type 2 diabetes (T2D) risk loci in the past few years, but our understanding of the genetic basis of T2D in ethnically diverse populations remains limited. We performed ...
  • Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma 

    Chambers JC; Zhang W; Sehmi J; Li X; Wass MN; Van der Harst P; Holm H; Sanna S; Kavousi M; Baumeister SE; Coin LJ; Deng G; Gieger C; Heard-Costa NL; Hottenga JJ; Kühnel B; Kumar V; Lagou V; Liang L; Luan J; Vidal PM; Mateo Leach I; O'Reilly PF; Peden JF; Rahmioglu N; Soininen P; Speliotes EK; Yuan X; Thorleifsson G; Alizadeh BZ; Atwood LD; Borecki IB; Brown MJ; Charoen P; Cucca F; Das D; de Geus EJ; Dixon AL; Döring A; Ehret G; Eyjolfsson GI; Farrall M; Forouhi NG; Friedrich N; Goessling W; Gudbjartsson DF; Harris TB; Hartikainen AL; Heath S; Hirschfield GM; Hofman A; Homuth G; Hyppönen E; Janssen HL; Johnson T; Kangas AJ; Kema IP; Kühn JP; Lai S; Lathrop M; Lerch MM; Li Y; Liang TJ; Lin JP; Loos RJ; Martin NG; Moffatt MF; Montgomery GW; Munroe PB; Musunuru K; Nakamura Y; O'Donnell CJ; Olafsson I; Penninx BW; Pouta A; Prins BP; Prokopenko I; Puls R; Ruokonen A; Savolainen MJ; Schlessinger D; Schouten JN; Seedorf U; Sen-Chowdhry S; Siminovitch KA; Smit JH; Spector TD; Tan W; Teslovich TM; Tukiainen T; Uitterlinden AG; Van der Klauw MM; Vasan RS; Wallace C; Wallaschofski H; Wichmann HE; Willemsen G; Würtz P; Xu C; Yerges-Armstrong LM; Alcohol Genome-wide Association (AlcGen) Consortium; Diabetes Genetics Replication and Meta-analyses (DIAGRAM+) Study; Genetic Investigation of Anthropometric Traits (GIANT) Consortium; Global Lipids Genetics Consortium; Genetics of Liver Disease (GOLD) Consortium; International Consortium for Blood Pressure (ICBP-GWAS); Meta-analyses of Glucose and Insulin-Related Traits Consortium (MAGIC); Abecasis GR; Ahmadi KR; Boomsma DI; Caulfield M; Cookson WO; van Duijn CM; Froguel P; Matsuda K; McCarthy MI; Meisinger C; Mooser V; Pietiläinen KH; Schumann G; Snieder H; Sternberg MJ; Stolk RP; Thomas HC; Thorsteinsdottir U; Uda M; Waeber G; Wareham NJ; Waterworth DM; Watkins H; Whitfield JB; Witteman JC; Wolffenbuttel BH; Fox CS; Ala-Korpela M; Stefansson K; Vollenweider P; Völzke H; Schadt EE; Scott J; Järvelin MR; Elliott P; Kooner JS (2011)
    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver ...
  • Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations 

    Demirkan A; van Duijn CM; Ugocsai P; Isaacs A; Pramstaller PP; Liebisch G; Wilson JF; Johansson Å; Rudan I; Aulchenko YS; Kirichenko AV; Janssens AC; Jansen RC; Gnewuch C; Domingues FS; Pattaro C; Wild SH; Jonasson I; Polasek O; Zorkoltseva IV; Hofman A; Karssen LC; Struchalin M; Floyd J; Igl W; Biloglav Z; Broer L; Pfeufer A; Pichler I; Campbell S; Zaboli G; Kolcic I; Rivadeneira F; Huffman J; Hastie ND; Uitterlinden A; Franke L; Franklin CS; Vitart V; DIAGRAM Consortium; Nelson CP; Preuss M; CARDIoGRAM Consortium; Bis JC; O'Donnell CJ; Franceschini N; CHARGE Consortium; Witteman JC; Axenovich T; Oostra BA; Meitinger T; Hicks AA; Hayward C; Wright AF; Gyllensten U; Campbell H; Schmitz G; EUROSPAN consortium (2012)
    Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their ...
  • Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure 

    Wain LV; Verwoert GC; O'Reilly PF; Shi G; Johnson T; Johnson AD; Bochud M; Rice KM; Henneman P; Smith AV; Ehret GB; Amin N; Larson MG; Mooser V; Hadley D; Dörr M; Bis JC; Aspelund T; Esko T; Janssens AC; Zhao JH; Heath S; Laan M; Fu J; Pistis G; Luan J; Arora P; Lucas G; Pirastu N; Pichler I; Jackson AU; Webster RJ; Zhang F; Peden JF; Schmidt H; Tanaka T; Campbell H; Igl W; Milaneschi Y; Hottenga JJ; Vitart V; Chasman DI; Trompet S; Bragg-Gresham JL; Alizadeh BZ; Chambers JC; Guo X; Lehtimäki T; Kühnel B; Lopez LM; Polašek O; Boban M; Nelson CP; Morrison AC; Pihur V; Ganesh SK; Hofman A; Kundu S; Mattace-Raso FU; Rivadeneira F; Sijbrands EJ; Uitterlinden AG; Hwang SJ; Vasan RS; Wang TJ; Bergmann S; Vollenweider P; Waeber G; Laitinen J; Pouta A; Zitting P; McArdle WL; Kroemer HK; Völker U; Völzke H; Glazer NL; Taylor KD; Harris TB; Alavere H; Haller T; Keis A; Tammesoo ML; Aulchenko Y; Barroso I; Khaw KT; Galan P; Hercberg S; Lathrop M; Eyheramendy S; Org E; Sõber S; Lu X; Nolte IM; Penninx BW; Corre T; Masciullo C; Sala C; Groop L; Voight BF; Melander O; O'Donnell CJ; Salomaa V; d'Adamo AP; Fabretto A; Faletra F; Ulivi S; Del Greco F; Facheris M; Collins FS; Bergman RN; Beilby JP; Hung J; Musk AW; Mangino M; Shin SY; Soranzo N; Watkins H; Goel A; Hamsten A; Gider P; Loitfelder M; Zeginigg M; Hernandez D; Najjar SS; Navarro P; Wild SH; Corsi AM; Singleton A; de Geus EJ; Willemsen G; Parker AN; Rose LM; Buckley B; Stott D; Orru M; Uda M; LifeLines Cohort Study; van der Klauw MM; Zhang W; Li X; Scott J; Chen YD; Burke GL; Kähönen M; Viikari J; Döring A; Meitinger T; Davies G; Starr JM; Emilsson V; Plump A; Lindeman JH; Hoen PA; König IR; EchoGen consortium; Felix JF; Clarke R; Hopewell JC; Ongen H; Breteler M; Debette S; Destefano AL; Fornage M; AortaGen Consortium; Mitchell GF; CHARGE Consortium Heart Failure Working Group; Smith NL; KidneyGen consortium; Holm H; Stefansson K; Thorleifsson G; Thorsteinsdottir U; CKDGen consortium; Cardiogenics consortium; CardioGram; Samani NJ; Preuss M; Rudan I; Hayward C; Deary IJ; Wichmann HE; Raitakari OT; Palmas W; Kooner JS; Stolk RP; Jukema JW; Wright AF; Boomsma DI; Bandinelli S; Gyllensten UB; Wilson JF; Ferrucci L; Schmidt R; Farrall M; Spector TD; Palmer LJ; Tuomilehto J; Pfeufer A; Gasparini P; Siscovick D; Altshuler D; Loos RJ; Toniolo D; Snieder H; Gieger C; Meneton P; Wareham NJ; Oostra BA; Metspalu A; Launer L; Rettig R; Strachan DP; Beckmann JS; Witteman JC; Erdmann J; van Dijk KW; Boerwinkle E; Boehnke M; Ridker PM; Jarvelin MR; Chakravarti A; Abecasis GR; Gudnason V; Newton-Cheh C; Levy D; Munroe PB; Psaty BM; Caulfield MJ; Rao DC; Tobin MD; Elliott P; van Duijn CM (2011)
    Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure ...
  • Genome-wide association study identifies three novel loci for type 2 diabetes 

    Hara K; Fujita H; Johnson TA; Yamauchi T; Yasuda K; Horikoshi M; Peng C; Hu C; Ma RC; Imamura M; Iwata M; Tsunoda T; Morizono T; Shojima N; So WY; Leung TF; Kwan P; Zhang R; Wang J; Yu W; Maegawa H; Hirose H; DIAGRAM consortium; Kaku K; Ito C; Watada H; Tanaka Y; Tobe K; Kashiwagi A; Kawamori R; Jia W; Chan JC; Teo YY; Shyong TE; Kamatani N; Kubo M; Maeda S; Kadowaki T (2014)
    Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) ...
  • Genome-wide association study of kidney function decline in individuals of European descent 

    Gorski M; Tin A; Garnaas M; McMahon GM; Chu AY; Tayo BO; Pattaro C; Teumer A; Chasman DI; Chalmers J; Hamet P; Tremblay J; Woodward M; Aspelund T; Eiriksdottir G; Gudnason V; Harris TB; Launer LJ; Smith AV; Mitchell BD; O'Connell JR; Shuldiner AR; Coresh J; Li M; Freudenberger P; Hofer E; Schmidt H; Schmidt R; Holliday EG; Mitchell P; Wang JJ; de Boer IH; Li G; Siscovick DS; Kutalik Z; Corre T; Vollenweider P; Waeber G; Gupta J; Kanetsky PA; Hwang SJ; Olden M; Yang Q; de Andrade M; Atkinson EJ; Kardia SL; Turner ST; Stafford JM; Ding J; Liu Y; Barlassina C; Cusi D; Salvi E; Staessen JA; Ridker PM; Grallert H; Meisinger C; Müller-Nurasyid M; Krämer BK; Kramer H; Rosas SE; Nolte IM; Penninx BW; Snieder H; Fabiola Del Greco M; Franke A; Nöthlings U; Lieb W; Bakker SJ; Gansevoort RT; van der Harst P; Dehghan A; Franco OH; Hofman A; Rivadeneira F; Sedaghat S; Uitterlinden AG; Coassin S; Haun M; Kollerits B; Kronenberg F; Paulweber B; Aumann N; Endlich K; Pietzner M; Völker U; Rettig R; Chouraki V; Helmer C; Lambert JC; Metzger M; Stengel B; Lehtimäki T; Lyytikäinen LP; Raitakari O; Johnson A; Parsa A; Bochud M; Heid IM; Goessling W; Köttgen A; Kao WH; Fox CS; Böger CA (2015)
    Genome-wide association studies (GWASs) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS ...
  • A genome-wide association study of sleep habits and insomnia 

    Byrne EM; Gehrman PR; Medland SE; Nyholt DR; Heath AC; Madden PA; Hickie IB; Van Duijn CM; Henders AK; Montgomery GW; Martin NG; Wray NR; Chronogen Consortium (2013)
    Several aspects of sleep behavior such as timing, duration and quality have been demonstrated to be heritable. To identify common variants that influence sleep traits in the population, we conducted a genome-wide association ...
  • Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts 

    Boraska V; Day-Williams A; Franklin CS; Elliott KS; Panoutsopoulou K; Tachmazidou I; Albrecht E; Bandinelli S; Beilin LJ; Bochud M; Cadby G; Ernst F; Evans DM; Hayward C; Hicks AA; Huffman J; Huth C; James AL; Klopp N; Kolcic I; Kutalik Z; Lawlor DA; Musk AW; Pehlic M; Pennell CE; Perry JR; Peters A; Polasek O; St Pourcain B; Ring SM; Salvi E; Schipf S; Staessen JA; Teumer A; Timpson N; Vitart V; Warrington NM; Yaghootkar H; Zemunik T; Zgaga L; An P; Anttila V; Borecki IB; Holmen J; Ntalla I; Palotie A; Pietiläinen KH; Wedenoja J; Winsvold BS; Dedoussis GV; Kaprio J; Province MA; Zwart JA; Burnier M; Campbell H; Cusi D; Smith GD; Frayling TM; Gieger C; Palmer LJ; Pramstaller PP; Rudan I; Völzke H; Wichmann HE; Wright AF; Zeggini E (2012)
    Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric ...
  • Genome-wide Enrichment Analysis between Endometriosis and Obesity-related Traits Reveals Novel Susceptibility Loci 

    Rahmioglu N; Macgregor S; Drong AW; Hedman AK; Harris HR; Randall JC; Prokopenko I; The International EndoGene Consortium (IEC); The GIANT Consortium; Nyholt DR; Morris AP; Montgomery GW; Missmer SA; Lindgren CM; Zondervan KT; The International EndoGene Consortium IEC (2015)
    Endometriosis is a chronic inflammatory condition in women that results in pelvic pain and subfertility, and has been associated with decreased body mass index (BMI). Genetic variants contributing to the heritable component ...
  • Genome-wide linkage analysis of serum creatinine in three isolated European populations 

    Pattaro C; Aulchenko YS; Isaacs A; Vitart V; Hayward C; Franklin CS; Polasek O; Kolcic I; Biloglav Z; Campbell S; Hastie N; Lauc G; Meitinger T; Oostra BA; Gyllensten U; Wilson JF; Pichler I; Hicks AA; Campbell H; Wright AF; Rudan I; van Duijn CM; Riegler P; Marroni F; Pramstaller PP; EUROSPAN Consortium (2009)
    There is increasing evidence for a role of genetic predisposition in the etiology of kidney disease, but linkage scans have been poorly replicated. Here we performed a genome-wide linkage analysis of serum creatinine on ...
  • Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity 

    Joshi PK; Pirastu N; Kentistou KA; Fischer K; Hofer E; Schraut KE; Clark DW; Nutile T; Barnes CLK; Timmers PRHJ; Shen X; Gandin I; McDaid AF; Hansen TF; Gordon SD; Giulianini F; Boutin TS; Abdellaoui A; Zhao W; Medina-Gomez C; Bartz TM; Trompet S; Lange LA; Raffield L; van der Spek A; Galesloot TE; Proitsi P; Yanek LR; Bielak LF; Payton A; Murgia F; Concas MP; Biino G; Tajuddin SM; Seppälä I; Amin N; Boerwinkle E; Børglum AD; Campbell A; Demerath EW; Demuth I; Faul JD; Ford I; Gialluisi A; Gögele M; Graff M; Hingorani A; Hottenga JJ; Hougaard DM; Hurme MA; Ikram MA; Jylhä M; Kuh D; Ligthart L; Lill CM; Lindenberger U; Lumley T; Mägi R; Marques-Vidal P; Medland SE; Milani L; Nagy R; Ollier WER; Peyser PA; Pramstaller PP; Ridker PM; Rivadeneira F; Ruggiero D; Saba Y; Schmidt R; Schmidt H; Slagboom PE; Smith BH; Smith JA; Sotoodehnia N; Steinhagen-Thiessen E; van Rooij FJA; Verbeek AL; Vermeulen SH; Vollenweider P; Wang Y; Werge T; Whitfield JB; Zonderman AB; Lehtimäki T; Evans MK; Pirastu M; Fuchsberger C; Bertram L; Pendleton N; Kardia SLR; Ciullo M; Becker DM; Wong A; Psaty BM; van Duijn CM; Wilson JG; Jukema JW; Kiemeney L; Uitterlinden AG; Franceschini N; North KE; Weir DR; Metspalu A; Boomsma DI; Hayward C; Chasman D; Martin NG; Sattar N; Campbell H; Esko T; Kutalik Z; Wilson JF. (2017)
    Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity ...